content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def delete_report(repo, username=None, namespace=None):
"""Delete a report from a project."""
repo = flask.g.repo
form = pagure.forms.ConfirmationForm()
if form.validate_on_submit():
report = flask.request.form.get("report")
reports = repo.reports
if report not in reports:
... | d3cee0f0702b3a48559782b01b426bb0f4975de7 | 38,500 |
import sys
import os
import shutil
import six
def downloadmodel(model_label=None, targetdir=None):
"""
Query Zenodo and retrieve version-specific model parameter files and metadata
"""
global modelOptions
if targetdir is not None:
tempDir = targetdir
else:
tempDir = SCOPEMODELS_DATADIR ## By default, downlo... | 61b6f2612fba0a04f9c48520c888b4d344089291 | 38,501 |
import math
def fuzzifier_determ(D: int, N: int) -> float:
"""The function to determ the fuzzifier paramter of fuzzy c-means
"""
return 1 + (1418 / N + 22.05) * D**(-2) + (12.33 / N + 0.243) * D**(-0.0406 * math.log(N) - 0.1134) | 3bf0f85a74400c19fae74349ea651eba8b600697 | 38,502 |
from typing import List
def _is_paired(ordered_list: List[int]) -> bool:
"""Check whether values are paired in ordered_list."""
consecutive_comparison = [
t == s for s, t in zip(ordered_list, ordered_list[1:])
]
return (all(consecutive_comparison[0::2]) &
(not any(consecutive_comparison[1::2])... | ba7052de513bcc7bf274e38005c459715e9f60b8 | 38,503 |
def rgb_to_gray(image, three_channels=False):
"""Converts a 3 channel RGB image to a 1 channel grayscale image.
Args:
image: Rank 3 float32 tensor containing 1 image -> [height, width, 3]
with pixel values varying between [0, 1].
Returns:
image: A single channel grayscale image -> [image, hei... | 89b3bf7dab7b94ff21be046e72895e2326819abe | 38,504 |
def get_largest_partition_size(ns, device):
"""
Returns size of the largest free region (in blocks), which can accommodate
a partition on given device.
There must be partition table present on this device.
:type device: LMIInstance/CIM_StorageExtent or string
:param device: Device which should... | 104c1bd8626236fbd0983f6280213c0a15785f41 | 38,505 |
import os
def create_stereo_point_cloud_folder(sensor_folder):
"""Create a folder for point clouds genereated using the stereo depth
images, if it does not exist.
Args:
sensor_folder (str): Path to the sensor folder.
Returns:
stereo_point_cloud_folder (str): Path to the created point... | a820f93228da7a55876b92868de3b13d05ae08a2 | 38,506 |
def steps(number):
"""
Count steps needed to get to 1 from provided number.
:param number int - the number provided.
:return int - the number of steps taken to reach 1.
"""
if number < 1:
raise ValueError("Provided number is less than 1.")
steps = 0
while number != 1:
s... | 8681691946b5ba2d261a1ae753d2a04c46ac1719 | 38,507 |
def labs(**kwargs):
"""
Change plot title, axis labels and legend titles.
Parameters
----------
kwargs : dict
A list of new name-value pairs where name should be an aesthetic,
e.g. title='Plot title' or aesthetic='Scale label'.
Returns
-------
`FeatureSpec` or `FeatureS... | 45c0038e694b730a92d35c407ddb4a4cb639647b | 38,508 |
def nested_dict_values(d):
"""
Extracts all values from a nested dictionary
"""
listvals = list(nested_dict_gen(d))
listvals_unwrapped = []
for l in listvals:
if type(l) == list or type(l) == np.ndarray:
for ll in l:
listvals_unwrapped.append(ll)
else:... | cfeb0a5fb782240e622b3dd21a47ce10143af569 | 38,509 |
import os
import glob
import torch
def load_model(model, load_from, load_dict={}):
"""loads the weights of a model from a folder.
:param model: torch model
:type model: torch.nn.module
:param load_from: either a filename or a folder where a list of weights are stored
:type load_from: str
:p... | f406e5c8ae902ed560de2d7ea95883d9430c2e07 | 38,510 |
import numpy
def _get_sr_pod_grid(success_ratio_spacing=0.01, pod_spacing=0.01):
"""Creates grid in SR-POD space
SR = success ratio
POD = probability of detection
M = number of rows (unique POD values) in grid
N = number of columns (unique success ratios) in grid
:param success_ratio_spacin... | 6349afbecc8994c1078f2fa019a5a721862b0d15 | 38,511 |
from typing import Optional
from typing import Set
async def all_upcoming_broadcasts(
seconds: Optional[int] = None,
) -> Set[TextChannel]:
"""All upcoming broadcast channels that have yet to be announced. If minutes are
given, then it will only mention the events comming up in the given number of minutes... | bdb52910824a284b89676d3b2b2bc7a296353b50 | 38,512 |
def jd2iso(jd):
"""Convert a Julian date into an ISO 8601 date string representation"""
return astropy.time.Time(jd, format='jd', scale=time_scale, precision=0).iso | 6c8111d78adff702a22347c2cf1855ceddcc8d55 | 38,513 |
def MakeOnnxInputsOutputs(name, elem_type, shape, **kwargs):
"""Wrapper for creating onnx graph inputs or outputs
name, # type: Text
elem_type, # type: TensorProto.DataType
shape, # type: Optional[Sequence[int]]
"""
if elem_type is None:
elem_type = onnx_pb.TensorProto.UNDEFI... | e9fc478ff715584752e5ed69ec2c9c826ce76a9d | 38,514 |
def geom_lst_to_gdf(lst):
"""Convert geometry or geometry list to gdf.
Args:
lst (geometry|list(geometry)): The geometry or geometries.
Returns:
gpd.GeoDataFrame: The geodataframe.
"""
if not isinstance(lst, list):
lst = [lst]
return gpd.GeoDataFrame( {'ge... | 5189e77a5c4d1701aaee6feea5b4f1b80a86c0e4 | 38,515 |
def build_get_enum_valid_request(
**kwargs # type: Any
):
# type: (...) -> HttpRequest
"""Get enum array value ['foo1', 'foo2', 'foo3'].
See https://aka.ms/azsdk/python/protocol/quickstart for how to incorporate this request builder
into your code flow.
:return: Returns an :class:`~azure.core... | 654c0de7e0efc219406e42f6395ed214aa92aeb5 | 38,516 |
import scipy
def ks_2samp(data1, data2):
"""
Computes the Kolmogorov-Smirnov statistic on 2 samples.
This is a two-sided test for the null hypothesis that 2 independent samples
are drawn from the same continuous distribution.
Parameters
----------
a, b : sequence of 1-D ndarrays
tw... | 58854c49fe6adbbc747579f5c38c00673430d21d | 38,517 |
def list_shows():
"""
return all the shows
"""
shows = ShowRun.query.all()
ret = []
for show in shows:
ret.append({'show_id': show.id,
'show_date': show.created_date,
'show_status': show.status.name})
return jsonify({'date': ret}) | 2008646c0c911de0012a5cfc4e6187c2e0406c2f | 38,518 |
from typing import Dict
import re
def _replace_spec_toks(mthd: str, spec_toks: Dict[str, str]) -> str:
"""
Performs the replacement of special tokens by the original ones
"""
spec_toks = spec_toks.copy()
# Add special tokenizer tokens -> deleted for code analysis
spec_toks['<bos>'] = ""
sp... | 0c1b9ec96880c2c488952f238dd146719398cbcd | 38,519 |
def redirect_to_user_chat(markup: ReplyKeyboardMarkup):
"""
Clean the bot commands from the group chat and send the message to a user.
Args:
markup: ReplyKeyboardMarkup
Returns:
None
or
Calls decorated function if in the user's chat.
"""
def decorator(func):
... | c8feae1ed2e3f3b5e44309b17f04dc54ba7c6e30 | 38,520 |
def run_intcode(memory, input_list):
"""Run an Intcode program from memory and return the result"""
instr_ptr = 0
input_ptr = 0
output = None
while instr_ptr < len(memory):
instruction = memory[instr_ptr]
digits = list_digits(instruction)
# extract opcode
opcode_pair... | 0941d13400ca170714d41476d6cf72a4942e9c97 | 38,521 |
from typing import Union
from typing import Optional
def get_kubeflow_value(
tfx_value: Union[int, float, str, Text]) -> Optional[pipeline_pb2.Value]:
"""Converts TFX/MLMD values into Kubeflow pipeline Value proto message."""
if tfx_value is None:
return None
result = pipeline_pb2.Value()
if isinstan... | 5f579f5b34261dad2f753d73dd5fe4c36cf34d8f | 38,522 |
def read_parquet(
path,
engine: str = "auto",
columns=None,
storage_options: StorageOptions = None,
use_nullable_dtypes: bool = False,
**kwargs,
):
"""
Load a parquet object from the file path, returning a DataFrame.
Parameters
----------
path : str, path object or file-like... | ea8264bbda6293a07059a7a0ebd85c15a844bdf1 | 38,523 |
import torch
def calculate_cis_nominal(genotypes_t, phenotype_t, residualizer=None, return_af=True):
"""
Calculate nominal associations
genotypes_t: genotypes x samples
phenotype_t: single phenotype
residualizer: Residualizer object (see core.py)
"""
p = phenotype_t.reshape(1,-1)
r_no... | ad73cdcb962f7108761833a83e847e1dcaf9b249 | 38,524 |
def get_ver():
"""Read out the version number of the radio"""
return radio_get_ver_fn() | 03b20e4c4e60807327f593f36605fa651350a1af | 38,525 |
def get_entities_list(token, aiid):
"""Returns a list of all entities for an AI"""
return fetch_api('/entities/{aiid}', token=token, aiid=aiid) | d660e56c9e94e1ae587b037571e9120df5acf8bd | 38,526 |
def read_P23_from_sequence(file):
""" read P2 and P3 from a sequence file calib_cam_to_cam.txt
"""
P2 = None
P3 = None
with open(file, 'r') as f:
for line in f.readlines():
if line.startswith("P_rect_02"):
data = line.split(" ")
P2 = np.array([floa... | eb4e334a8dfac11c86d837640b47f3a48880af90 | 38,527 |
def openConnection():
"""
Method that starts a connection with the database
:return: the driver for the connection
"""
connection = nj.GraphDatabase.driver(
uri=URI, auth=nj.basic_auth(USER, PASSWORD))
return connection | 35db801d44e143007c0972747380e942fbbdee0f | 38,528 |
from .views import item_methods
def resource_view_attrs(raml_resource, singular=False):
""" Generate view method names needed for `raml_resource` view.
Collects HTTP method names from resource siblings and dynamic children
if exist. Collected methods are then translated to
`nefertari.view.BaseView` ... | 63f2687b0e0fdde3d3749dade2a706818ac9acce | 38,529 |
def total(inarray, axis, type='meanclip'):
"""
Collapse 2-D array in one dimension.
.. note:: MYTOTAL routine from ACS library.
Examples
--------
>>> collapsed_array = total(inarray, 1, type='median')
Parameters
----------
inarray : array_like
Input 2-D array.
axis : ... | f3083d53eea18303594d21fff53073c79a84e9dc | 38,530 |
def check_rack_shape_match(source_shape, target_shape,
row_count, col_count,
translation_behaviour=None):
"""
Checks whether two rack shape match the given rack transfer or translation
behaviour.
:Note: One-to-one translations can not be discovered ... | 273691fca54b93ab8725b4c5f2e89e00cec03d4b | 38,531 |
def deny_request( request_id ):
"""Denies a given request for slots
No request params.
"""
try:
req = SlotRequest.get( SlotRequest.id == request_id ).select().join( User ).first()
print(req)
g.user.deny_request( request_id )
rs = RadioStation.get()
send_mail( '{}... | 022485b485172f7501ea021fec9d712c7d6862c0 | 38,532 |
def make_env(rank, seed=0):
"""
Utility function for multiprocessed env.
:param env_id: (str) the environment ID
:param num_env: (int) the number of environments you wish to have in subprocesses
:param seed: (int) the inital seed for RNG
:param rank: (int) index of the subprocess
"""
de... | 00732e1373bd2ca4536f9612ba4ad268b606307b | 38,533 |
def blur(img_array, blur_factor):
"""
Blur the image by Gaussian Blur,
and it has effects on every channel.
Recommend: int around 5.
"""
for i in range(3):
img_array[:, :, i] = ndimage.gaussian_filter(img_array[:, :, i], blur_factor)
return np.uint8(img_array) | d26184c85889b496b684ece8a3caf5bcd1f36a27 | 38,534 |
def add(a, b):
"""Adds two integers"""
return a + b | 5e91983492e1995437c2810c2d7c04cdd9180906 | 38,535 |
def usmap(scenario,mode,yyyy,save='n'):
"""
scenario: 'base', 'bakken_rail_cap', 'US_midwest_pipelines', 'US_export_ban_lifted'
mode: 'Rail', 'Pipeline'
years: 2012, 2015, 2018
save: 'y', 'n'
"""
m = Basemap(width=12000000,height=7000000,
rsphere=(6378137.00,6356752.3142),\
resolution='l',area_thresh=1000.,p... | 497a29913914639ae28bda82750b99e9cf2ef361 | 38,536 |
def get_python_packages(Debug):
"""
Retrieves the version of the python packages installed in the system.
It retrieves the dependencies name conversion from file :file:`XICRA/config/python/module_dependencies.csv`
using function :func:`XICRA.config.extern_progs.file_list` and :func:`XICRA.scripts.functions.main_fu... | c8ca5521603959e8d68391a32688d8fe4409fdb1 | 38,537 |
import re
def replace_space(string):
"""Replace all spaces in a word with `%20`."""
return re.sub(' ', '%20', string) | 9b9b400f913efb7ee1e86a87335955744c9b1a3a | 38,538 |
import numpy
def _get_sitk_pixelid(numpy_array_type):
"""Returns a SimpleITK PixelID given a numpy array."""
if not HAVE_NUMPY:
raise ImportError('Numpy not available.')
# This is a Mapping from numpy array types to sitks pixel types.
_np_sitk = {numpy.character: sitkUInt8,
n... | 1ec0f992ebc786824e02a011f26137e7298580ff | 38,539 |
import re
def port_to_string(port):
"""
Returns clear number string containing port number.
:param port: port in integer (1234) or string ("1234/tcp") representation.
:return: port number as number string ("1234")
"""
port_type = type(port)
if port_type is int:
return str(port)
... | 5d526406566c7c37af223ed8e5744ba13771f55f | 38,540 |
from typing import OrderedDict
def get_s_macd(c: analyze.CZSC, di: int = 1) -> OrderedDict:
"""获取倒数第i根K线的MACD相关信号"""
freq: Freq = c.freq
s = OrderedDict()
k1 = str(freq.value)
k2 = f"倒{di}K"
default_signals = [
Signal(k1=k1, k2=k2, k3="DIF多空", v1="其他", v2='其他', v3='其他'),
Signa... | 483e9403c74993f9fec175c9adeb3e620ddf8291 | 38,541 |
from typing import Optional
def code_block(text: str, language: Optional[str] = None) -> str:
"""Creates a code block using HTML syntax. If language is given, then the code block will be
created using Markdown syntax, but it cannot be used inside a table.
:param text: The text inside the code block
:... | 5d8b272d2a93463171e5a51beaccd8293db280dc | 38,542 |
from typing import Counter
def test_network(neural_network, input_window, input_max, test_location=None, test_class=None, submission=False):
"""Test the performance of the neural network classifier against known spikes classes."""
if submission:
# If submission flag, define the indices of submission ... | a32ea3adfd9998d107135191aff8b95767d46cf0 | 38,543 |
def not_found():
"""Page not found."""
return render_template('404.html') | 6a299f514d62c3be42a1d1e351cb6f11eaf02e8b | 38,544 |
import os
def generate_aes_256_key():
"""
This function generate a AES 256 bits long, using the package crypthography.
@param None
@return: (list[Key_of_AES,random_bytes_cbc,Obj_Cipher_AES]) return a 256 bytes AES key and object AES, or 0
"""
try:
key_dec_enc = os.urandom(32)
mode_vec = os.urandom(16)
bac... | 09f19d2eb9bc65e7dfacc54e6de9c5dc6ba278ad | 38,545 |
def _histogram_binsize_weighted(a, w, start, width, n):
"""histogram_even_weighted(a, start, width, n) -> histogram
Return an histogram where the first bin counts the number of lower
outliers and the last bin the number of upper outliers. Works only with
fixed width bins.
:Stochastics:
a : a... | 2c7e26a86bb4b9cd2f8b4b845a2cbae2086c889d | 38,546 |
def merge(line):
"""
Helper function that merges a single row or column in 2048
"""
result = list(line)
head = 0
i = 1
while (i < len(result)):
if (result[i] != 0):
if (result[head] == result[i]):
result[head] += result[i]
result[i] = 0
... | 1a843ef4dc9c1b6cf20036f24288cb6166ae207b | 38,547 |
def get_transcripts_from_tree(chrom, start, stop, cds_tree):
"""Uses cds tree to btain transcript IDs from genomic coordinates
chrom: (String) Specify chrom to use for transcript search.
start: (Int) Specify start position to use for transcript search.
stop: (Int) Specify ending position to use for tra... | 51aa6f1aa97d2f977840376ea2c4bf422ff8e7a6 | 38,548 |
def parse_flattened_result_only_intent(to_parse):
"""
Parse out the belief state from the raw text.
Return an empty list if the belief state can't be parsed
Input:
- A single <str> of flattened result
e.g. 'User: Show me something else => Belief State : DA:REQUEST ...'
... | 05c7346197fa3f98f1c4194ea7d92622483d0f51 | 38,549 |
def update(*, db_session, user: DispatchUser, user_in: UserUpdate) -> DispatchUser:
"""Updates a user."""
user_data = jsonable_encoder(user)
update_data = user_in.dict(exclude={"password"}, skip_defaults=True)
for field in user_data:
if field in update_data:
setattr(user, field, upd... | 786c2ec90a432a5da20b9483b38105d246165bd7 | 38,550 |
def cost_table(tea):
"""
Return a cost table as a pandas DataFrame object.
Parameters
----------
units : iterable[Unit]
Returns
-------
table : DataFrame
"""
columns = ('Unit operation',
'Purchase cost (10^6 USD)',
'Utility cost (10^6 USD... | 17489b80ab871caf9d3029b59e9e7f30cecc2905 | 38,551 |
def embed_conformer(
mol, forcefield: str = "uff", num_conformer: int = 10, prune_tresh: float = 0.1
):
"""Use Riniker/Landrum conformer generator: https://pubs.acs.org/doi/10.1021/acs.jcim.5b00654"""
conf_generator = ConformerGenerator()
mol, _ = conf_generator.generate_conformers(mol)
return mol | 515b78ae3e2fe131a554c0878336f26e12ef7bb7 | 38,552 |
import argparse
def process_command_line():
""" returns a 1-tuple of cli args
"""
parser = argparse.ArgumentParser(description='usage')
parser.add_argument('--config', dest='config', type=str, default='config.yaml',
help='config file for this experiment')
parser.add_argume... | 573ec38b1b57538ebb97b082f71343a49081dfc7 | 38,553 |
def setup_august(hass, config, api, authenticator, token_refresh_lock):
"""Set up the August component."""
authentication = None
try:
authentication = authenticator.authenticate()
except RequestException as ex:
_LOGGER.error("Unable to connect to August service: %s", str(ex))
h... | 881f35f74c33ba2ab8f606b80e277ebc626f1b4a | 38,554 |
from pathlib import Path
def get_default_prms() -> dict:
""" Extract the default ampycloud parameters from the YAML configuration file. """
yaml = YAML(typ='safe')
out = yaml.load(Path(__file__).parent / 'prms' / 'ampycloud_default_prms.yml')
return out | e2f2a057d7584ba447a02506e3a7135f3271df28 | 38,555 |
import copy
import os
def GetEnvArgsForCommand(extra_vars=None, exclude_vars=None):
"""Return an env dict to be passed on command invocation."""
env = copy.deepcopy(os.environ)
env.update(DEFAULT_ENV_ARGS)
if extra_vars:
env.update(extra_vars)
if exclude_vars:
for k in exclude_vars:
env.pop(k)... | e9cf3c10e93db6e53e10b163eff685da06e5ddec | 38,556 |
def filter_row_by_data_type_audf(col_name, data_type):
"""
Filter a column using a Spark data type as reference
:param col_name:
:param data_type:
:return:
"""
data_type = parse_python_dtypes(data_type)
return abstract_udf(col_name, is_data_type, "boolean", data_type) | 3e8bdccb85532bf70063713049dc04c04344d5fc | 38,557 |
import re
def strip_outer_dollars(value):
"""Strip surrounding dollars signs from TeX string, ignoring leading and
trailing whitespace"""
if value is None:
return '{}'
value = value.strip()
m = re.match(r'^\$(.*)\$$', value)
if m is not None:
value = m.groups()[0]
return va... | 3ad283af2835ba2bcf2c57705f2faa9495ea4e7a | 38,558 |
def process_articles(article_results_list):
"""
Fuction that processes json result into a list
:return: a list of news articles
"""
articles=[]
for item in article_results_list:
id = item.get('id')
author = item.get('author')
title = item.get('title')
description ... | 98fcddcf8a97eb7a30e2872844f3e81d7182f10b | 38,559 |
def attrgetter_atom_split(tokens):
"""Split attrgetter_atom_tokens into (attr_or_method_name, method_args_or_none_if_attr)."""
if len(tokens) == 1: # .attr
return tokens[0], None
elif len(tokens) >= 2 and tokens[1] == "(": # .method(...
if len(tokens) == 2: # .method()
return ... | 4ed19a1ea087d1b92fbe9743421ef51c560bced1 | 38,560 |
def pytest_funcarg__barcamps(request):
"""return the barcamp collection"""
config = request.getfuncargvalue("config")
return config.dbs.barcamps | 23c3aea374428ab1045c422f0b8efb72be33f5c8 | 38,561 |
import logging
import psutil
def stop_service(service_name):
"""Stops the given service by sending unix control signals to the process.
Waits for the process to stop before returning from the function.
Kills the process and any children processes if the process does not exit normally."""
servic... | 1349d8b51f1934324c166ae2bf5ee1c5e61f0c31 | 38,562 |
import json
def mark_as_read(request, app_key, user_id):
"""
mark all unread notifications for that user, as read
"""
app = Application.objects.get(secret_key=app_key)
unreads = get_unread_logentry_list(app, user_id)
for log in unreads:
logentryread = LogEntryRead(app=app, log=log, user_id=user_id)
logentry... | 0b6934b093e3b79984237cced5b3b272017a5eed | 38,563 |
def gauss(r, A, l):
"""Gaussian"""
return A * np.exp(-0.5 * (r / l) ** 2) | 46afc9c0130d562b66a95a64c66c7ffba614846a | 38,564 |
import copy
def variability(model_variability, variable_list=None):
"""Perform thermodynamic variability analysis.
Determine the minimum and maximum values for the input variables (Flux, Gibbs free
energies and metabolite concentrations). if min_growth constraint is applied then
growth is maintained ... | 6484c18f424330e15ea7b64d64d4acd4ba4a5bde | 38,565 |
def tabuleiro_inicial():
"""
tabuleiro_inicial: {} >>> tabuleiro
- Um "mirror" para a funcao "str_para_tabuleiro" com um valor especifico. Devolve sempre o mesmo tabuleiro.
"""
return str_para_tabuleiro("((-1, -1, -1), (0, 0, -1), (0, -1))") | 4ac3c124fde952d0cb94496499eff9998fb29c2f | 38,566 |
def create_processor_names_for_branch_action(processor_name, processors_to_add, seff, mapping_cache):
"""
If current seff contains a BranchAction, check if copying processor is required, if true: create corresponding
processor names and add to processors_to_add. If branch action does not require creation of... | 5b50392abf58857742a36b45dd6ef152a4844c53 | 38,567 |
def cast_to_scalar_tensor_of_dtype(t, dtype):
"""If not yet a tensor, casts it to a constant scalar tensor."""
if issubclass(type(t), ops.Tensor):
return t
return array_ops.constant(t, shape=[], dtype=dtype) | d3c85844b636d708686ab98a7b38a672ffd45009 | 38,568 |
import os
def menu_select(title='~ Untitled Menu ~', main_entries=[], action_entries=[], prompt='Please make a selection', secret_exit=False):
"""Display options in a menu for user selection"""
# Bail early
if (len(main_entries) + len(action_entries) == 0):
raise Exception("MenuError: No items gi... | 2495d79218e03430642eb4d099223fa2e2f3b357 | 38,569 |
def plot_stacked_bar_chart(data, series_labels, col_labels=None, x_label=None, y_label=None, log_scale=False):
"""
For plotting e.g. species distribution across locations.
Reference: https://stackoverflow.com/questions/44309507/stacked-bar-plot-using-matplotlib
Args:
data: a 2-dimensional numpy ... | fd125eb1495d3264e8e9ec4bec29d2387a19d4de | 38,570 |
def check_is_admin(roles):
"""Whether or not roles contains 'admin' role according to policy setting.
"""
init()
return policy.check('context_is_admin', {}, {'roles': roles}) | daecaf480916d7576c9aa0a42ea949eb2ea6e0d0 | 38,571 |
from typing import Sequence
from typing import Tuple
def merge_requirements(
requirements: Sequence[Tuple[Feature, Requirements]]
) -> Tuple[Feature, Requirements]:
"""Determine the lowest common denominator in the given requirements."""
if len(requirements) == 1:
return requirements[0][0], requir... | 2fc98482311b374d8d2d3d222a1113fab75f74e1 | 38,572 |
def resource_data_get_all(resource, data=None):
"""
Looks up resource_data by resource.id. If data is encrypted,
this method will decrypt the results.
"""
if data is None:
data = (model_query(resource.context, models.ResourceData)
.filter_by(resource_id=resource.id))
if... | f4370f7d7f9d8a7a338ba964c7958b26bf7bc849 | 38,573 |
def setig():
"""The
"""
return load(_os.path.join("npc", "setig.csv")) | 60f2c8849830b4af0512065c42203bdff05c06bc | 38,574 |
import os
def does_file_exist(file, proj_dir):
"""Determine if a file in our persistent data still exist.
If file is not absolute, will check if relative from the project directory exists.
Args:
file (str): Relative or absolute file path to check the existence of
proj_dir (str): Project pa... | e7b6c514c4d5de3acfde55b2739bb7e5a06b8da3 | 38,575 |
from typing import Optional
def serialize(model, data, fields=None, exc: Optional[set] = None, rels=None, root=None, exclude=None, functions=None,
**kwargs):
"""
This utility function dynamically converts Alchemy model classes into a
dict using introspective lookups. This saves on manually m... | 5a6350347ac58e12b9400137796ac701e3002447 | 38,576 |
from datetime import datetime
def interval(
value: int | datetime.timedelta | None = None,
unit: str = 's',
years: int | None = None,
quarters: int | None = None,
months: int | None = None,
weeks: int | None = None,
days: int | None = None,
hours: int | None = None,
minutes: int | ... | 11448a6e99fd547f241721cf2d4f3ea8e7469d7a | 38,577 |
def numpy_product(quat0, quat1):
"""Returns the quaternion product of q0 and q1."""
quat = np.zeros(4)
x0, y0, z0, w0 = quat0[0], quat0[1], quat0[2], quat0[3]
x1, y1, z1, w1 = quat1[0], quat1[1], quat1[2], quat1[3]
quat[0] = w0*x1 + x0*w1 + y0*z1 - z0*y1
quat[1] = w0*y1 - x0*z1 + y0*w1 + z0*x1
... | a76d25b372c7a565e4cc7f535ff0ff49130b9adb | 38,578 |
def estimate_price(mileage, theta0, theta1):
"""
Estimate price function:
"""
return theta0 + theta1 * mileage | 43ba05aacc3cb94f9bf3223f6ea8f74a569c2537 | 38,579 |
def init_axis(title = '', geometry = ''):
"""
Initializes plotting area and returns a handle for plot area
:param None:
:return: Axis object
"""
fig = plt.figure()
ax = fig.add_subplot(111)
plt.axis("equal")
mngr = plt.get_current_fig_manager()
#mngr.window.setGeometry(50,100,640, 545)
mngr.window.wm_geome... | cb31c8c9a35ba5b0bfde862bb9daac37d94a5cb4 | 38,580 |
def similar_date(anon, obj, field, val):
"""
Returns a date that is within plus/minus two years of the original date
"""
return anon.faker.date(field=field, val=val) | d9a723d3c22954797895b43d57f297330272c8cb | 38,581 |
def launch_request_handler(handler_input):
"""Handler for Skill Launch."""
return launch_request(handler_input) | e5df4bcfaa2b39adc1afd1ca9d5da1227441d8f1 | 38,582 |
def tweetDiv(tweet):
"""View text of tweet"""
res = '<div class="panel"><div class="header"><img src="'
res = res + tweet['user']['profile_image_url']
res = res + '" ><div class="text">'
res = res + tweet['user']['name']
res = res + '</div></div><p><small><small>'
res = res + tweet['created_... | c852c8bf2181636f3052dc9a94d6e435fafe216a | 38,583 |
from typing import Union
from typing import Optional
def variable_like(inputs: Union[tf.Tensor, tf.Variable],
initializer: initializers.Initializer = initializers.Zeros(),
trainable: Optional[bool] = None,
name: Optional[str] = None) -> tf.Variable:
"""Creates a... | a44a4d598f4d8fd625389262719e4bcbc727896e | 38,584 |
def make_signing_service(config, entity_id):
"""
Given configuration initiate a SigningService instance
:param config: The signing service configuration
:param entity_id: The entity identifier
:return: A SigningService instance
"""
_args = dict([(k, v) for k, v in config.items() if k in KJ... | 603d47cf08779a7d36238c5a8cd8ac3c0dacba40 | 38,585 |
from functools import reduce
def fsum(iterable):
"""fsum(iterable)
Return an accurate floating point sum of values in the iterable.
"""
return reduce(Add, iterable) | ece802387b3e2910d45ec9a520c51702216543fb | 38,586 |
def structure_sampling_values(graph, centrality, function):
""" helper function to compute the centrality values for an edge"""
cent = centrality.get_values(graph)
edges = graph.get_edges()
left_values =cent[edges[:,0]]
right_values=cent[edges[:,1]]
values = function(left_values, right_values)
... | a0608646867704dea6b1e27e4cfee8b3062ab0da | 38,587 |
from pathlib import Path
from typing import Union
def riglob(path: Path, pattern: str = None, regex: Union[str, PTYPE] = None, files=True, directories=True):
"""same as Path.rglob method, but instead match on given pattern or regex, case-insensitively, and filtering on
path type (file and / or directory
I... | 44579b2e243f66f80d368ef49f9b34057875b038 | 38,588 |
def get_all(isamAppliance, check_mode=False, force=False):
"""
Get information on all existing Transactions
"""
return isamAppliance.invoke_get("Retrieving a list of transactions", "{0}".format(module_uri),
requires_modules=requires_modules, requires_version=requires_... | 2dbc495db106e500279909cbe25d9a940272d498 | 38,589 |
def get_naive_affinities(raw, offsets):
"""get naive pixel affinities based on differences in pixel intensities."""
affinities = []
for i, off in enumerate(offsets):
rolled = np.roll(raw, tuple(-np.array(off)), (0, 1))
dist = np.linalg.norm(raw - rolled, axis=-1)
affinities.append(di... | f405b30a796539418d4f1a71bb544d502a1264dd | 38,590 |
def generallaplacian(W, G=None):
"""
Compute the general laplacian of graph.
Parameters:
- - - - -
W: float, array
weight adjacency matrix
Returns:
- - - -
L: float, sparse array
surface mesh Laplacian matrix
"""
[D, Dinv] = degree(W)
n = D.shape[0]
i... | 0af8e2a9ab71d7d6730689d282427cfe208e6564 | 38,591 |
def dummy_wrapper(fn):
"""Simple wrapper used for testing"""
def _run_callable(*args, **kwargs):
return fn(*args, **kwargs)
return _run_callable | 60d92942fd1d87b835ea05dd00baea8a71117fac | 38,592 |
def _validate_privatekey_pem(key_pem):
"""Implement private key validation.
Args:
key_pem (str): RSA PKCS#8 PEM private key (traditional OpenSSL format)
of at least 2048 bit strength.
"""
assert isinstance(key_pem, str)
# Create the cryptography package private key object and p... | d520ba02a4dce0cc47885f252a6edda2aa138023 | 38,593 |
def integrate(func,a,b):
"""
Wrapper for definite integration using scipy.integrate.quad().
"""
## calculate integral and error
val, abserr = spint.quad(func,a,b, limit=100)
## get relative error
relerr = np.nan
if val != 0:
relerr = np.abs(abserr/val)
## warning parameters
maxrel, maxabs = 1e-4, 1e-6
## e... | f16d46088f7aa9d2b575a4bf63736b65642764d4 | 38,594 |
def get_backlinks(dictionary):
"""
Returns a reversed self-mapped dictionary
@param dictionary: the forwardlinks
"""
o = dict()
for key, values in dictionary.items():
try:
for v in values:
try:
o[v].add(key)
except KeyE... | 43b28e4f177a7813ba8d8c0960d04e71ad28f83b | 38,595 |
def shift_date(date_str, n):
"""
:param date_str: 日期, 'YYYYMMDD'格式的字符串
:param n: 时间跨度, int
:return: 调整后的交易日，date
"""
tc = ts.util.dateu.trade_cal()
tc = tc[tc.isOpen == 1]
tc.set_index('calendarDate', inplace=True)
if len(tc[:date_str]) < n:
return tc.iloc[0].name
else... | 7a9a1cb500e9ac38b5a51a17b35e05d33760ea32 | 38,596 |
def mfcc_filter_banks(sampling_rate, num_fft, lowfreq=133.33, linc=200 / 3,
logsc=1.0711703, num_lin_filt=13, num_log_filt=27):
"""
Computes the triangular filterbank for MFCC computation
(used in the stFeatureExtraction function before the stMFCC function call)
This function is t... | 99f08847b24785afdacdd5769656bc0aa4a8218b | 38,597 |
import os
import pickle
def train(version, n_epochs, batch_size, lr, dr, l1, l2, bn, deconvolution, n_base_filters,
depth, filter_size, activation, final_activation, n_classes, optimizer, loss_function, metrics,
n_train_patients, n_val_patients, checkpoint_model, models_dir,
train_featur... | 2ccb941b66435945f1e744a7ad9959996ecdffa9 | 38,598 |
def make_BinaryQuadraticModel_from_JSON(obj: dict):
"""make BinaryQuadraticModel from JSON.
Returns:
corresponding BinaryQuadraticModel type
"""
label = obj['variable_labels'][0]
if isinstance(label, list):
#convert to tuple
label = tuple(label)
mock_linear = {label:1.... | e95329fedb4ca997452a38158fa3a0d1c504f26a | 38,599 |
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